KMS Of Academy of mathematics and systems sciences, CAS
| Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities | |
| Liu, Yajuan1,2; Park, Ju H.2; Guo, Bao-Zhu3; Fang, Fang1; Zhou, Funa4 | |
| 2018-09-10 | |
| Source Publication | INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
 |
| ISSN | 1049-8923 |
| Volume | 28Issue:13Pages:3893-3908 |
| Abstract | In this paper, dissipative synchronization problem for the Markovian jump neural networks with time-varying delay and general transition probabilities is investigated. An event-triggered communication scheme is introduced to trigger the transmission only when the variation of the sampled vector exceeds a prescribed threshold condition. The transition probabilities of the Markovian jump delayed neural networks are allowed to be known, or uncertain, or unknown. By employing delay system approach, a new model of synchronization error system is proposed. Applying the Lyapunov-Krasovskii functional and integral inequality combining with reciprocal convex technique, a delay-dependent criterion is developed to guarantee the stochastic stability of the errors system and achieve strict (Q,S,R)- dissipativity. The event-triggered parameters can be derived by solving a set of linear matrix inequalities. A numerical example is presented to illustrate the effectiveness of the proposed design method. |
| Keyword | dissipative synchronization event-triggered control general transition probabilities Markovian jump neural networks |
| DOI | 10.1002/rnc.4110 |
| Language | 英语 |
| Funding Project | National Natural Science foundation of China[51676068] ; Fundamental Research Funds for the Central Universities[2018MS028] ; National Research Foundation of Korea[2013R1A1A2A10005201] |
| WOS Research Area | Automation & Control Systems ; Engineering ; Mathematics |
| WOS Subject | Automation & Control Systems ; Engineering, Electrical & Electronic ; Mathematics, Applied |
| WOS ID | WOS:000439507100004 |
| Publisher | WILEY |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.amss.ac.cn/handle/2S8OKBNM/33429 |
| Collection | 中国科学院数学与系统科学研究院 |
| Corresponding Author | Park, Ju H. |
| Affiliation | 1.North China Elect Power Univ, Sch Control & Comp Engn, Beijing 102206, Peoples R China 2.Yeungnam Univ, Dept Elect Engn, Gyongsan 38541, South Korea 3.Acad Sinica, Acad Math & Syst Sci, Key Lab Syst & Control, Beijing 100190, Peoples R China 4.Henan Univ, Sch Comp & Informat Engn, Kaifeng 475004, Peoples R China |
| Recommended Citation GB/T 7714 | Liu, Yajuan,Park, Ju H.,Guo, Bao-Zhu,et al. Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities[J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL,2018,28(13):3893-3908. |
| APA | Liu, Yajuan,Park, Ju H.,Guo, Bao-Zhu,Fang, Fang,&Zhou, Funa.(2018).Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities.INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL,28(13),3893-3908. |
| MLA | Liu, Yajuan,et al."Event-triggered dissipative synchronization for Markovian jump neural networks with general transition probabilities".INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL 28.13(2018):3893-3908. |
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